A predictive and scalable health-monitoring system for handpumps

Thesis

The handpump remains the most reliable and low-cost method to access groundwater, making it a critical component of rural water supply for around 200 million people in sub-Saharan Africa to meet their daily water needs. Despite this, an estimated one in four handpumps does not work at any given time. This is primarily due to a lack of low-cost and reliable remote monitoring methods for predicting the condition of the rural infrastructure. Existing handpump maintenance models rely on manual...

Expand abstract

Authors: Greeff, H

• Type of award: DPhil
• Level of award: Doctoral
• Awarding institution: University of Oxford
• Language: English
• Keywords: machine learning; remote monitoring
• Subjects: Supervised learning (Machine learning); Engineering